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30 years of synthetic data (Q6577810)

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scientific article; zbMATH DE number 7886116

Language	Label	Description	Also known as
English	30 years of synthetic data	scientific article; zbMATH DE number 7886116

Statements

scholarly article

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30 years of synthetic data (English)

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Jörg Drechsler

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Anna-Carolina Haensch

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Statistical Science

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publication date

24 July 2024

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zbMATH Keywords

access

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confidentiality

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data generation

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disclosure

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dissemination

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privacy

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MaRDI profile type

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Providing access to confidential research data through synthesis and verification: an application to data on employees of the U.S. federal government

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A learning theory approach to noninteractive database privacy

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Comparative study of differentially private data synthesis methods

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Differentially private data release via statistical election to partition sequentially

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Synthetic datasets for statistical disclosure control. Theory and implementation

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New data dissemination approaches in old Europe – synthetic datasets for a German establishment survey

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Sampling With Synthesis: A New Approach for Releasing Public Use Census Microdata

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Statistical confidentiality. Principles and practice.

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Differential Privacy: A Survey of Results

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Theory of Cryptography

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The Algorithmic Foundations of Differential Privacy

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Dirichlet process mixture models for modeling and generating synthetic versions of nested categorical data

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Spatial change of support models for differentially private decennial census counts of persons by detailed race and ethnicity

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Simultaneous edit-imputation and disclosure limitation for business establishment data

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A data distortion by probability distribution

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Bayesian non-parametric generation of fully synthetic multivariate categorical data in the presence of structural zeros

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Generating partially synthetic geocoded public use data with decreased disclosure risk by using differential smoothing

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Releasing Multiply Imputed, Synthetic Public use Microdata: An Illustration and Empirical Study

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Significance tests for multi-component estimands from multiply imputed, synthetic microdata

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Estimating Risks of Identification Disclosure in Microdata

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Verification servers: enabling analysts to assess the quality of inferences from public use data

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The Multiple Adaptations of Multiple Imputation

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The central role of the propensity score in observational studies for causal effects

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Generating synthetic data to produce public-use microdata for small geographic areas based on complex sample survey data with application to the National Health Interview Survey

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Assessing Identification Risk in Survey Microdata Using Log-Linear Models

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General and specific utility measures for synthetic data

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k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

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The Complexity of Differential Privacy

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Multiple imputation for sharing precise geographies in public use data

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Quant GANs: deep generation of financial time series

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Identifiers

Mathematics Subject Classification ID

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zbMATH DE Number

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10.1214/24-STS927

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Sitelinks

Mathematics(1 entry)

mardi Publication:6577810

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